Lone Wolf Unleashed - avoid exhaustion, reclaim your time using tools, systems and AI

Lots of people are handing work to AI agents and crossing their fingers. This episode is about doing it properly.Hi, I'm Mike, host of Lone Wolf Unleashed.This week I walk you through the controlled, step-by-step method for transitioning your work into an AI agent team — so you stay in control, your quality holds, and you don’t end up with an agent deleting your production database.The short version: you don’t hand everything over on day one.I'm going to teach you "The Two-Lane Method" and explain how to hand work to AI Agents in a controlled way.And I bring receipts. One of my own processes went from three weeks to four hours. A 96% time reduction.Listen to hear me walk you through it.Chapters00:00 Transitioning work to AI agents in a controlled manner00:16 Back from the Investors Forum — Sydney & Melbourne00:36 Warren Otter’s multimillion-dollar exit story01:02 Human in the loop — what it means and why it matters01:24 How I build AI skills from real work02:14 Process diagrams, LinkedIn, and learning by doing02:39 From task-based to workflow-based thinking03:20 Why you can’t hand everything to an agent team on day one04:18 The two-lane model: your lane vs the agent team’s lane05:10 Shifting reviews down into the agent lane05:40 What to keep in your lane vs what to delegate first06:44 Why control matters: the AI database deletion story07:27 Build skill by skill, then string into a pipeline07:58 Using separate manager and QA agents for review08:51 Why it’s not just “checking its own homework”09:55 The end state: one input, one output, you’re not in the middle10:28 Real result: a task reduced by 96%10:50 The business requirements document use case13:07 From three weeks to four hours13:17 What this means for your business14:00 Resources at lonewolfunleashed.comResources: lonewolfunleashed.com/resourcesMentioned in this episode:This podcast is part of the Podknows Podcasting ICN NetworkYou might also like...Check out the "Websites Made Simple" podcast with Holly Christie at https://websitesmadesimple.co.uk/

Everything will still be here when we get back to AI...Hi, I'm Mike, host of Lone Wolf Unleashed.This week I'm doing something a little different — zooming out from all the systems, the tools, and the tech to talk about the thing that actually underpins everything in your solo business: you.If you're a solo founder, you know the feeling. Work coming from every direction. Kids getting sick. Clients to juggle. Hours that never seem to end. You started this business for a reason — flexibility, financial freedom, intergenerational wealth, doing cool stuff with cool people. Whatever it was, it was yours.But somewhere along the way, you've become one person working two people's hours.This episode is about zooming out and remembering why.I walk you through the first P in my Five P Framework — Persona — and why getting clear on who you are, what you value, and why you started has to come before any system you build. Your values don't just inform your decisions — they determine them. Which platforms you use. How your processes run. What you do and don't send.Your dreams are the architecture.Your systems are built to serve those dreams.The solo business is you.And that's not a motivational slogan. It's operational reality.Chapters00:00 Taking a break from AI — zooming out00:36 The thing that matters most in your solo business01:00 Solo founders: getting hit from every side02:16 The solo business is you02:48 Why Mike started his business03:46 What are your reasons? Zoom out.04:43 Sitting in the car in tears — keeping going anyway05:28 Good systems make the dream possible05:56 The Five P Framework: Persona first06:49 How your values shape your decisions and processes07:33 Systemisation starts and ends with you08:16 It's okay not to want this anymore09:31 Wrap-up: reaffirming why you're in thisResources: lonewolfunleashed.com/resourcesMentioned in this episode:This podcast is part of the Podknows Podcasting ICN NetworkYou might also like...Check out the "Websites Made Simple" podcast with Holly Christie at https://websitesmadesimple.co.uk/

AI isn't taking your job. It's taking one layer of it — and most people are getting that distinction wrong.In this episode of Lone Wolf Unleashed, I walk through a three-layer framework for understanding where AI actually fits in your business: information routing, judgement, and signals. AI is excellent at the first layer. It can't do the other two. We cover why mass layoffs are misreading the boundary, why accountability sits with you (not the model), and a simple way to find AI-ready tasks in your own day.If you run a service-based business, this is the lens to use before you automate anything.Chapters00:00 — The premise: AI isn't taking all the jobs00:46 — Layer 1: Information routing (what AI is excellent at)01:17 — Layer 2: Judgement (and the new transparency legislation)02:04 — Layer 3: Signals in the physical environment02:30 — Why wholesale layoffs are misreading the boundary03:51 — Freeing middle managers to make good decisions04:50 — How to apply this to your own business05:55 — Worked example: my podcast content workflow07:08 — Communication is performance07:49 — Connected systems in 202608:21 — Recap of the three layers09:37 — A 95% time-saving benchmark10:13 — Closing thoughtsMore from Lone Wolf UnleashedOther episodes: https://lonewolfunleashed.com/episodes/Resources: lonewolfunleashed.com/resourcesMentioned in this episode:This podcast is part of the Podknows Podcasting ICN NetworkYou might also like...Check out the "Websites Made Simple" podcast with Holly Christie at https://websitesmadesimple.co.uk/

Most AI agent content is hype. This isn’t.I’m Mike, host of Lone Wolf Unleashed.This week I walk you through how I implemented my first AI agent team using Paperclip — an open-source multi-agent platform — and more importantly, the methodical approach that made the result controllable rather than chaotic.The short version: I started with a target operating model in Obsidian, not with the tool.People, process, technology, on a page.I handed the architecture to Claude, spun up a “CEO agent” in Paperclip, and let it form a team — CTO, business analyst, content writer, marketing manager, clips publisher — that now runs my content pipeline from Asana through Descript, SharePoint and into Metricool.Architecture before automation.Human-in-the-loop, non-negotiable.You’re still the master of your business.Listen to hear me walk you through it.Chapters00:00 First AI agent team, implemented00:30 Why Paperclip (and going from local to cloud)01:18 Starting with a target operating model in Obsidian02:03 Handing the architecture to Claude02:22 The CEO agent spawns the team03:40 The content workflow: Asana → Descript → SharePoint → Paperclip → Metricool05:04 Matching agents to models: Opus, Sonnet, Haiku05:56 Routines instead of manual triggers06:40 What took the time (spoiler: it wasn’t the agents)07:34 Human-in-the-loop and run history09:10 You are the master of your business10:54 The 80/20 rule for phase-one buildsResources: lonewolfunleashed.com/resourcesMentioned in this episode:You might also like...Check out the "Websites Made Simple" podcast with Holly Christie at https://websitesmadesimple.co.uk/This podcast is part of the Podknows Podcasting ICN Network

Are your AI tools burning through tokens faster than ever? You're not alone — and in this episode I'm sharing the framework that's changed how I manage knowledge and query AI at scale.I'm Mike from Lone Wolf Unleashed — I help solo founders build business systems so they can switch off sooner and live larger. Today I'm walking through Andrej Karpathy's wiki methodology, how to implement it in Obsidian, and why it reduces AI token consumption by up to 85% compared to traditional approaches.I also cover how I've applied this directly to Lone Wolf Unleashed — building a target operating model, setting up agent teams in Paperclip, and designing a content production architecture that closes the gap between production and distribution for a solo operator.If you're hitting your AI limits, spending too much on token-heavy workflows, or just looking for a smarter way to manage your business knowledge — this one's for you.──────────────────────────────Chapters──────────────────────────────00:00 — Introduction: Token limits and why this matters for solo founders00:43 — How Andrej Karpathy's wiki methodology works02:50 — Setting up a wiki ingest workflow in Obsidian03:33 — Why the wiki is 80–85% more token efficient04:38 — Visualising knowledge connections with Obsidian's graph view05:56 — Replacing a team of analysts as a solo operator06:43 — Target operating models and the 5Ps framework07:50 — Introducing Paperclip and automated content production10:13 — Building an AI Business Analyst assistant13:00 — What this means for your business and your life14:21 — Resources and wrap-up──────────────────────────────RESOURCES──────────────────────────────Wiki resources and setup guide: https://lonewolfunleashed.com/resources──────────────────────────────CONNECT──────────────────────────────Website: https://lonewolfunleashed.comEmail Mike: [email protected] in this episode:You might also like...Check out the "Websites Made Simple" podcast with Holly Christie at https://websitesmadesimple.co.uk/This podcast is part of the Podknows Podcasting ICN Network